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- 
                Field
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                an individual Resistant, Tolerant, or Susceptible (R/T/S) to a virus? That is the key question we aim to answer in this PhD study. We have gathered data on viral outbreaks over ~20 years and sequenced hundreds 
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                for replication timing and directionality, GRO-seq for nascent transcription, and DRIP-seq for R-loop detection. These methods allow us to integrate replication, transcription, and DNA repair features at nucleotide 
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                supergiant stars right before the explosion Searching different astrophysical channels that produce r-process elements Connecting the properties of long-duration gamma-ray bursts and associated supernovae web 
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                Geográfica (SIG). - Dominio en modelización estadística de datos y de software estadístico y SIG (R, QGIS/ArcGIS, Python). - Experiencia en la redacción de textos científicos y buen nivel de comunicación 
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                University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 6 hours agomodeling, or machine learning - Experience with large-scale genomic data analysis (e.g., GWAS, QTL, PRS, or multi-omics integration) Strong programming skills in R or Python; familiarity with Bayesian 
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                and to anticipate, plan and write R+D projects, reports and technical documents. Teamwork skills and ability to establish and build relationships that will allow pursuing the objectives of the R&D 
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                test the BEE server, a GDPR-compliant, pseudonymized platform for secure geocoding and linkage of environmental and health datasets. Statistical modelling in R: Using advanced statistical packages 
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                coronary events and other NCDs. Statistical modelling: Conducting advanced inferential analyses in R, leveraging packages for epidemiology (e.g., survival, Epi, mgcv), spatial statistics (sp, sf, gstat), and 
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                Algorithmic Categorization”, 2024.07707.IACDC supported by measure “RE-C05-i08.m04 – “Support the launch of a program of R&D projects aimed at the development and implementation of advanced cybersecurity 
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                languages R or Java will be appreciated. Previous experience with phylogenetics will be an advantage but is not required. The candidate must have good communication skills (oral and written) in English, and